Topics

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The call for papers invites submissions on innovative research and applications at the intersection of AI, data mining, and autonomous systems.
Possible topics of interest include, but are not limited to:

• Machine learning and deep learning approaches for autonomous navigation and control
• Data mining techniques for sensor data analysis and interpretation in autonomous systems
• Security, privacy, and ethical considerations in AI-driven autonomous systems
• Networked autonomous systems: challenges and solutions in data sharing and analytics
• Graph Mining and best practices in the deployment of AI-driven autonomous systems in various domains
• AI-driven optimization techniques for resource allocation and management in autonomous systems
• Explainable AI (XAI) for enhancing transparency and trust in autonomous systems
• Human-AI interaction and collaboration in autonomous systems
• Edge computing and AI for real-time decision-making in autonomous systems
• Multi-agent systems and distributed AI for coordinating autonomous entities
• Federated learning and privacy-preserving techniques for collaborative autonomous systems
• Cross-domain applications of AI-driven autonomous systems, such as healthcare, agriculture, and industrial automation
• Adaptive and self-learning mechanisms for improving the resilience and adaptability of autonomous systems
• Integration of AI and data mining with other emerging technologies like IoT, blockchain, and edge computing in autonomous systems
• Regulatory frameworks and standards for ensuring the safe and ethical deployment of AI-driven autonomous systems